AI Engineer

About the role

As the AI Engineer at Kargo, you will architect, build, and scale AI-powered products and automations for Kargo's commercial organization. Operating within the Data & AI team, you are the connective tissue between revenue teams and AI infrastructure—proactively identifying high-value use cases, building intelligent workflows and agentic applications, and deploying trustworthy systems across Salesforce, Snowflake, Slack, and other internal platforms. You’re both hands-on and capable of owning the strategic roadmap for AI operations at Kargo.

Mission

This is a hybrid role requiring onsite presence 4 days per week.

Outcomes - What Success Looks Like in 6-12 Months

• At least 3 high-impact AI automations are live and actively used by commercial teams—measurably reducing manual work or improving data quality across Salesforce, Slack, or Snowflake
• A governance model is in place covering prompt engineering standards, audit trails, and a feedback loop that drives continuous iteration
• Cross-functional stakeholders trust and use the tools you’ve built, and Kargo’s Data & AI leadership has a clear, prioritized AI Ops roadmap that you own and drive
• You’ve established yourself as Kargo’s internal thought leader on applied AI— the person teams come to when they have a problem AI might solve

Skills - Core Capabilities

• Design & Automation:
• Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks—LangGraph, n8n, OpenAI Responses/Agents tooling, MCP-compatible architectures—with integrations across Salesforce, Slack, Snowflake, Atlassian, Google Workspace, Looker, and Airtable
• Translate business pain points into modular, extensible automation flows that are observable, debuggable, and fault-tolerant; proficient in Python or JavaScript for custom connectors and scripting
• 5–8+ years in systems automation, internal tools, or process/data engineering; hands-on with orchestration platforms such as n8n, LangGraph, Zapier, or Make; strong familiarity with SaaS APIs and system interoperability
• AI Agent Deployment:
• Build production-grade LLM applications—agent workflows, retrieval systems, internal copilots—using ChatGPT Enterprise and related LLM APIs for knowledge surfacing, workflow routing, decision support, and dynamic content generation
• Maintain a governance model for prompt engineering, agent testing, and audit trails; leverage AI-assisted development tools (Claude Code, Cursor, Codex) to accelerate velocity; familiar with evaluation and observability frameworks for LLM applications
• Internal Enablement & Strategy:
• Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities, prototype quickly, document tooling, and drive self-service adoption
• Own and communicate the AI Ops roadmap to Data & AI leadership—prioritized by business impact, sequenced by feasibility, and grounded in real discovery with commercial teams

Nice to Have

• Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines
• Retool or Streamlit for lightweight internal UIs; ArgoCD or Kubernetes CI/CD experience

Competencies - Behaviors We Like to See

• Builder’s Instinct:
• Ships fast, iterates on real feedback, and knows when to build vs. buy—comfortable defining the problem and executing without a fully specified brief
• Cross-Functional Fluency:
• Translates between engineers and revenue leadership, earns trust by delivering things that work, and stays close to adoption after deployment
• Bias for Impact:
• Prioritizes automations that move a real business metric and measures success by adoption and friction reduction— not lines of code
• Ownership & Accountability:
• Owns the roadmap end-to-end, communicates proactively, flags blockers early, and treats internal users like customers
• Growth Mindset:
• Stays current on the LLM and AI agent landscape, applies new tooling when it matters, and shares knowledge generously to raise AI fluency across teams

Our Laurels

• AdAge Best Places to Work
• ThinkLA Partner of the Year
• Built In Best Places to Work
• Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
• Martech Breakthrough Awards - Best Overall Adtech Company
• Digiday Media Awards Best Event
• Cynopsis Media Impact Awards-Best CTV Platform
• Martech Breakthrough Awards-CTV Innovation
• Adweek Media Plan of the Year Awards - Best Use of Insights

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Equal Opportunity Employer

We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment.